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| Field name | Description |
|---|---|
| CHARACTER | Provides a list of gods from across the world |
| LOGICAL | Provides some Boolean values: TRUE and FALSE |
| NA_VALUES | Some empty values |
| NULL_VALUES | NULL values |
| INTEGER | represents the Z mathematical set. It contains some integer negative, positive and 0 values |
| NON_NEGATIVE_INTEGER | represents the natural numbers and the value 0. |
| POSITIVE_INTEGER | represents the natural numbers. That is n > 0. |
NEGATIVE_INTEGER | represents a subset of Z, where n < 0. |
| NUMERIC | represents the R and Q mathematical sets. It contains some decimal numbers that are negative, positive and 0. |
| NON_NEGATIVE_NUMERIC | represents some decimal values that are greater than or equal to 0. |
| POSITIVE_NUMERIC | represents some decimal values that are greater to 0. |
| NEGATIVE_NUMERIC | represents some decimal values that are lesser than 0. |
| FACTOR_CHARACTER | represents some various marital status, that are repeated several times over the values. It is suitable to test functions that return factors. |
| FACTOR_INTEGER | represents some integer factor values. The factors values are repeated several times over the values. It is suitable to test function that return factors. |
| IDENTIFIER | represents some integer numerical values, that are repeated. With the column CATEGORY, some functions that shape the values differently can be tested. |
| CATEGORY | represents some categories for some identifiers; the latter is provided by the column IDENTIFIER. With the latter, some functions that shape the values differently can be tested. |
| NUMERIC_ONE_CHANGE | represents copy of NUMERIC field, with only one change |
| INTEGER_ONE_CHANGE | represents copy of INTEGER field, with only one change |
TESTING dataset and the DataSHIELD testing framework
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| Field name | Description | Field name used as argument to DataSHIELD function | Local use of data.frame |
|---|---|---|---|
| CHARACTER | List of gods | 'D$CHARACTER' | ds.test_env$local.values.1[ ,2] ds.test_env$local.values.2[ ,2] ds.test_env$local.values.3[ ,2] |
| LOGICAL | TRUE and FALSE | 'D$LOGICAL' | ds.test_env$local.values.1[ ,3] ds.test_env$local.values.2[ ,3] ds.test_env$local.values.3[ ,3] |
| NA_VALUES | Some empty values | 'D$NA_VALUES' | ds.test_env$local.values.1[ ,4] ds.test_env$local.values.2[ ,4] ds.test_env$local.values.3[ ,4] |
| NULL_VALUES | NULL values | 'D$NULL_VALUES' | ds.test_env$local.values.1[ ,5] ds.test_env$local.values.2[ ,5] ds.test_env$local.values.3[ ,5] |
| INTEGER | The Z numerical set. | 'D$INTEGER' | ds.test_env$local.values.1[ ,6] ds.test_env$local.values.2[ ,6] ds.test_env$local.values.3[ ,6] |
NON_NEGATIVE_INTEGER | Natural numbers and the value 0. | 'D$NON_NEGATIVE_INTEGER' | ds.test_env$local.values.1[ ,7] ds.test_env$local.values.2[ ,7] ds.test_env$local.values.3[ ,7] |
POSITIVE_INTEGER | Natural numbers. | 'D$POSITIVE_INTEGER' | ds.test_env$local.values.1[ ,8] ds.test_env$local.values.2[ ,8] ds.test_env$local.values.3[ ,8] |
NEGATIVE NEGATIVE_INTEGER | Subset of Z, where n < 0. | 'D$NEGATIVE_INTEGER' | ds.test_env$local.values.1[ ,9] ds.test_env$local.values.2[ ,9] ds.test_env$local.values.3[ ,9] |
| NUMERIC | R and Q mathematical sets. | 'D$NUMERIC' | ds.test_env$local.values.1[ ,10] ds.test_env$local.values.2[ ,10] ds.test_env$local.values.3[ ,10] |
NON_NEGATIVE_NUMERIC | Subset of R and Q sets, where n > 0 | 'D$NON_NEGATIVE_NUMERIC' | ds.test_env$local.values.1[ ,11] ds.test_env$local.values.2[ ,11] ds.test_env$local.values.3[ ,11] |
POSITIVE_NUMERIC | Subset of R and Q sets, where n >= 0 | 'D$POSITIVE_NUMERIC' | ds.test_env$local.values.1[ ,12] ds.test_env$local.values.2[ ,12] ds.test_env$local.values.3[ ,12] |
NEGATIVE_NUMERIC | Subset of R and Q sets, where n <= 0 | 'D$NEGATIVE_NUMERIC' | ds.test_env$local.values.1[ ,13] ds.test_env$local.values.2[ ,13] ds.test_env$local.values.3[ ,13] |
| FACTOR_CHARACTER | Subset of R and Q sets, where n <= 0 | 'D$FACTOR_CHARACTER | ds.test_env$local.values.1[ ,14] ds.test_env$local.values.2[ ,14] ds.test_env$local.values.3[ ,14] |
FACTOR INTEGER | integer factor values. | 'D$FACTOR_INTEGER' | ds.test_env$local.values.1[ ,15] ds.test_env$local.values.2[ ,15] ds.test_env$local.values.3[ ,15] |
| IDENTIFIER | some integer numerical values, that are repeated. With the column CATEGORY, some functions that shape the values differently can be tested. | 'D$IDENTIFIER' | ds.test_env$local.values.1[ ,16] ds.test_env$local.values.2[ ,16] ds.test_env$local.values.3[ ,16] |
| CATEGORY | some some categories for some identifiers; the latter is provided by the column IDENTIFIER. With the latter, some functions that shape the values differently can be tested. | 'D$CATEGORY' | ds.test_env$local.values.1[ ,17] ds.test_env$local.values.2[ ,17] ds.test_env$local.values.3[ ,17] |
| NUMERIC_ONE_CHANGE | copy of NUMERIC field, with only one change, purpose of the field is disclosure testing. | 'D$NUMERIC_ONE_CHANGE' | ds.test_env$local.values.1[ ,18] ds.test_env$local.values.2[ ,18] ds.test_env$local.values.3[ ,18] |
| INTEGER_ONE_CHANGE | copy of INTEGER field, with only one change, purpose of the field is disclosure testing. | 'D$INTEGER_ONE_CHANGE' | ds.test_env$local.values.1[ ,19] ds.test_env$local.values.2[ ,19] ds.test_env$local.values.3[ ,19] |
Download
The datasets as well as the dictionary can be found in GitHub: https://github.com/patRyserWelch8/dsTestData
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